AI RESEARCH
A Reproducibility Study of LLM-Based Query Reformulation
arXiv CS.CL
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ArXi:2604.27421v1 Announce Type: cross Large Language Models (LLMs) are now widely used for query reformulation and expansion in Information Retrieval, with many studies reporting substantial effectiveness gains. However, these results are typically obtained under heterogeneous experimental conditions, making it difficult to assess which findings are reproducible and which depend on specific implementation choices.